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Prototyping x AI
Why AI-gen tools matter when prototyping
Simon Bromander
April 24, 2025
Why this matters now
Every week I talk to previous co-workers and product teams juggling speed, quality, and that bringing the wow factor. The theme I keep hearing? AI has collapsed the distance between idea and insight. What used to take a sprint now takes a single afternoon, and it changes everything:
Collaboration – A live prototype is now the meeting room.
Product philosophy – “Fully working” interactions are the new bar for prototyping.
Research cadence – Insight is measured in hours, not days.
From artifact to connective tissue
Live, AI-generated prototypes let PMs, designers, and engineers riff in real time instead of passing PDFs around. Decisions surface sooner, rework later melts away, and teams spend less time shipping pixels and more time solving real problems.
I found this very inspiring quote from Aakash Gupta:
“At modern product-led companies, prototypes are no longer just design artifacts – they’ve become the connective tissue of the entire development cycle.”
How to get started?
Try this: schedule a one-day “AI prototyping spike” – morning build, afternoon test, evening iterate. Rinse, repeat.
Aim to get 1-2 flows correct, test and evaluate. Iterate based on feedback and go again.
Tool to test
Need | Quick pick |
Instant high-fidelity UI from a prompt | |
Sketch-to-prototype in minutes | |
Design-to-production React sites | |
End-to-end web-app generation | |
AI-powered research & insight |
Food for thought
If prototypes are the connective tissue and AI handles the heavy lifting, what unique value does your team add? My bet: deeper user empathy, sharper problem framing, and the taste to know what feels lovable.
Hit reply and tell me how you’re collapsing the gap between idea and insight—I’m all ears.
Want to chat about this? I’m open for 30m free-calls to discuss how you and your team can get started.
Keep experimenting,
Simon
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